Scaleway

Scaleway GPU pricing overview

Scaleway is a specialist GPU cloud provider headquartered in Paris, France. Scaleway is a French cloud provider offering H100 SXM and PCIe GPU instances alongside a full cloud platform — managed Kubernetes (Kapsule), object storage, managed databases, serverless functions, and private networking — all within EU data centers. In 2025–2026 Scaleway launched H100 PCIe instances at competitive EU pricing, expanded its managed Kubernetes GPU node pools to support multi-GPU workloads natively, and introduced a GPU-optimized bare-metal tier for latency-sensitive inference. As a subsidiary of Iliad Group (one of France's largest telecoms), Scaleway has the financial backing and network infrastructure to compete seriously in the EU GPU market. A strong choice for European teams that want GPU compute and a full cloud stack from a single EU-sovereign provider, avoiding US hyperscaler data residency concerns entirely. Billing is On-demand, Reserved with a minimum commitment of None. Available regions include EU-West (Paris), EU-West (Amsterdam), EU-Central (Warsaw). GPU instances can be provisioned on-demand, making Scaleway suitable for both short-duration experiments and sustained production workloads.

Scaleway vs other GPU providers

Scaleway competes with providers including Lambda Labs, CoreWeave, RunPod, Paperspace, Vast.ai, and the major hyperscalers (AWS, Google Cloud, Azure) for GPU compute workloads spanning LLM training, fine-tuning, and inference serving. Key differentiators include: Full EU-sovereign cloud stack — GPU, Kubernetes, storage, databases in one platform; H100 SXM and PCIe at competitive European pricing; Managed Kubernetes with native GPU node pool support. Use the side-by-side comparison tool above to see Scaleway pricing against any other provider across shared GPU models. For a broader market view, the live GPU prices table shows all 4 Scaleway listings alongside 91+ providers in a single sortable view.

Best use cases for Scaleway

Scaleway is best suited for: EU-based teams needing GPU + full cloud stack from one EU-sovereign provider, Organizations avoiding US hyperscaler data residency concerns, Teams running GPU training alongside managed Kubernetes workloads, French and European enterprises with strict data sovereignty requirements. Support tiers range from Basic → Enterprise, making it viable for both individual researchers and enterprise teams with SLA requirements. There are currently 4 active GPU listings on Scaleway, covering H100 80GB, A100 80GB, L40S, L4. H100 SXM5 instances with NVLink interconnect are commonly used for large-scale training workloads. A100 40GB and RTX 4090 instances are frequently used for fine-tuning and inference of smaller models.

Scaleway billing model and cost structure

Scaleway uses On-demand, Reserved pricing. Spot pricing is not currently available on this provider — all instances are on-demand. Reserved instance pricing may be available for predictable long-running workloads — check the provider's pricing page for current committed-use rates. Always compare the effective hourly rate including egress, storage, and networking costs when evaluating total cost of ownership across providers.

Choosing the right GPU on Scaleway

GPU selection depends on model size, precision, and whether your workload is compute-bound or memory-bandwidth-bound. For LLM training above 30B parameters, H100 80GB SXM5 instances with NVLink are the standard choice — high HBM3 bandwidth and FP16 throughput make them well-suited for large transformer workloads. For inference of 7B–13B models in FP16 or BF16, A100 40GB is a common choice on many providers. RTX 4090 instances are widely used for fine-tuning, prototyping, and quantized inference (INT4/INT8) of models up to 70B. Read the H100 vs A100 guide or the GPU benchmarks for ML guide for a full breakdown.

How Scaleway pricing data is collected

Prices shown are sourced from Scaleway's public pricing API or pricing page and refreshed every 15 minutes. On-demand rates reflect the current list price for a single GPU instance in the cheapest available region. Spot prices, where available, reflect interruptible instance rates at the time of the last snapshot. All prices are in USD per hour. Daily snapshots are kept in our history archive and visualised in the GPU price history charts — useful for identifying seasonal pricing patterns and evaluating whether current rates are above or below the 30-day average.

Evaluating managed LLM inference APIs as an alternative to self-hosted GPU compute? Compare live LLM token prices across OpenAI, Anthropic, Google, Groq, and many other providers. The cheapest GPU cloud guide covers the break-even analysis between self-hosted and managed inference at different request volumes.